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Workgroup Summary

Workgroup Summary. Semantic Web Information Systems (SWIS). Semantic Web Information Systems. Web is increasingly more complex, and simultaneously there is information overload and starvation.

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Workgroup Summary

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  1. Workgroup Summary Semantic Web Information Systems (SWIS)

  2. Semantic Web Information Systems • Web is increasingly more complex, and simultaneously there is information overload and starvation. • SWIS uses explicit and machine processable semantics, which will allow orders of magnitude improvement in IDM. • SWIS can significantly enhance in activities such as scientific discovery, business processes, national defense, healthcare, and education.

  3. Why IDM for SWIS • IDM knows how to efficiently deal with very large amounts of diverse information (scale, heterogeneity). • Fundamental IDM concepts/techniques of query processing/views, constraints, modeling … are highly relevant to the realization of SWIS.

  4. SWIS Topics • Languages for representing and reasoning with ontologies-- more expressive, deal with XML and other formats • Constraints • more general/expressive formalisms • at different levels of the architecture • their processing • Semantic preserving/based schema/data transformation (mapping, evolution), integration, versioning

  5. SWIS Topics • Query languages for heterogeneous data (structured/semi-structured/unstructured data), metadata and knowledge bases • Logics for Semantic Web to support processing of uncertain, inexact, incomplete, temporal information • Workflow processes (discovery, negotiation, quality, trust) • User interfaces, interactivity • Optimization, scalability, performance

  6. Recommendation • Focused initiative within IDM • involve basic research and experimentation

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